Big data, data mining and machine learning: value creation for business leaders and practitioners
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Hoboken, NJ
Wiley
2014
|
| Schriftenreihe: | Wiley & SAS business series
|
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | XIX, 265 S. graph. Darst. 29 cm |
| ISBN: | 9781118618042 |
Internformat
MARC
| LEADER | 00000nam a2200000 c 4500 | ||
|---|---|---|---|
| 001 | BV041946225 | ||
| 003 | DE-604 | ||
| 005 | 20141008 | ||
| 007 | t | ||
| 008 | 140630s2014 d||| |||| 00||| eng d | ||
| 020 | |a 9781118618042 |c hbk |9 978-1-118-61804-2 | ||
| 035 | |a (OCoLC)886659756 | ||
| 035 | |a (DE-599)BSZ381987892 | ||
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| 100 | 1 | |a Dean, Jared |d 1978- |e Verfasser |0 (DE-588)105465719X |4 aut | |
| 245 | 1 | 0 | |a Big data, data mining and machine learning |b value creation for business leaders and practitioners |c Jared Dean |
| 264 | 1 | |a Hoboken, NJ |b Wiley |c 2014 | |
| 300 | |a XIX, 265 S. |b graph. Darst. |c 29 cm | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b n |2 rdamedia | ||
| 338 | |b nc |2 rdacarrier | ||
| 490 | 0 | |a Wiley & SAS business series | |
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| 856 | 4 | 2 | |m Digitalisierung UB Bamberg - ADAM Catalogue Enrichment |q application/pdf |u http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=027389298&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |3 Inhaltsverzeichnis |
Datensatz im Suchindex
| _version_ | 1805066212825104384 |
|---|---|
| adam_text |
Contents
Forward
xiii
Preface
xv
Acknowledgments
xix
introduction
1
Big Data Timeline
5
Why This Topic Is Relevant Now
8
Is Big Data a Fad?
9
Where Using Big Data Makes a Big Difference
12
Part One The Computing Environment
.23
Chapter
1
Hardware
27
Storage (Disk)
27
Central Processing Unit
29
Memory
31
Network
33
Chapter
2
Distributed Systems
35
Database Computing
36
File System Computing
37
Considerations
39
Chapter
3
Analytical Tools
43
Weka
43
Java and JVM Languages
44
R
47
Python
49
SAS
50
Χ
>
CONTENTS
Part Two Turning Data into Business Value
.53
Chapter
4
Predictive Modeling
55
A Methodology for Building Models
58
sEMMA
61
Binary Classification
64
Multilevel Classification
66
Interval Prediction
66
Assessment of Predictive Models
67
Chapter
5
Common Predictive Modeling Techniques
71
RFM
72
Regression
75
Generalized Linear Models
84
Neural Networks
90
Decision and Regression Trees
101
Support Vector Machines
107
Bayesian Methods Network Classification
113
Ensemble Methods
124
Chapter
6
Segmentation
127
Cluster Analysis
132
Distance Measures (Metrics)
133
Evaluating Clustering
134
Number of Clusters
135
K-means Algorithm
137
Hierarchical Clustering
138
Profiling Clusters
138
Chapter
7
incremental Response Modeling
141
Building the Response Model
142
Measuring the Incremental Response
143
Chapter
8
Time Series Data Mining
149
Reducing Dimensionality
150
Detecting Patterns
151
Time Series Data Mining in Action:
Nike+
FuelBand
154
Chapter
9
Recommendation Systems
163
What Are Recommendation Systems?
163
Where Are They Used?
164
CONTENTS 4
XI
How
D
о
They Work?
165
Assessing Recommendation Quality
170
Recommendations in Action:
SAS
Library
171
Chapter
10
Text Analytics
175
Information Retrieval
176
Content Categorization
177
Text Mining
178
Text Analytics in Action: Let's Play Jeopardy!
180
Part Three Success Stories of Putting
It All Together
.193
Chapter
11
Case study of a Large U.S.-Based
Financial Services Company
197
Traditional Marketing Campaign Process
198
High-Performance Marketing Solution
202
Value Proposition for Change
203
Chapter
12
Case study of a Major Health Care Provider
205
CAHPS
207
HEDIS
207
HOS
208
IRE
208
Chapter
13
Case Study of a Technology Manufacturer
215
Finding Defective Devices
215
How They Reduced Cost
216
Chapter
14
Case Study of Online Brand Management
221
Chapter
15
Case study of Mobile Application
Recommendations
225
Chapter
16
Case Study of a High-Tech Product
Manufacturer
229
Handling the Missing Data
230
Application beyond Manufacturing
231
Chapter
17
Looking to the Future
233
Reproducible Research
234
Privacy with Public Data Sets
234
The Internet of Things
236
xii
►contents
Software Development in the Future
237
Future Development of Algorithms
238
In Conclusion
241
About the Author
243
Appendix
245
References
247
Index
253 |
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| indexdate | 2024-07-20T03:14:46Z |
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| isbn | 9781118618042 |
| language | English |
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| spelling | Dean, Jared 1978- Verfasser (DE-588)105465719X aut Big data, data mining and machine learning value creation for business leaders and practitioners Jared Dean Hoboken, NJ Wiley 2014 XIX, 265 S. graph. Darst. 29 cm txt rdacontent n rdamedia nc rdacarrier Wiley & SAS business series Big Data (DE-588)4802620-7 gnd rswk-swf Data Mining (DE-588)4428654-5 gnd rswk-swf Data-Warehouse-Konzept (DE-588)4406462-7 gnd rswk-swf Big Data (DE-588)4802620-7 s Data-Warehouse-Konzept (DE-588)4406462-7 s Data Mining (DE-588)4428654-5 s DE-604 Erscheint auch als Online-Ausgabe 978-1-118-92069-5 Erscheint auch als Online-Ausgabe 978-1-118-92070-1 Digitalisierung UB Bamberg - ADAM Catalogue Enrichment application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=027389298&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
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| title | Big data, data mining and machine learning value creation for business leaders and practitioners |
| title_auth | Big data, data mining and machine learning value creation for business leaders and practitioners |
| title_exact_search | Big data, data mining and machine learning value creation for business leaders and practitioners |
| title_full | Big data, data mining and machine learning value creation for business leaders and practitioners Jared Dean |
| title_fullStr | Big data, data mining and machine learning value creation for business leaders and practitioners Jared Dean |
| title_full_unstemmed | Big data, data mining and machine learning value creation for business leaders and practitioners Jared Dean |
| title_short | Big data, data mining and machine learning |
| title_sort | big data data mining and machine learning value creation for business leaders and practitioners |
| title_sub | value creation for business leaders and practitioners |
| topic | Big Data (DE-588)4802620-7 gnd Data Mining (DE-588)4428654-5 gnd Data-Warehouse-Konzept (DE-588)4406462-7 gnd |
| topic_facet | Big Data Data Mining Data-Warehouse-Konzept |
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